Jeong‐Ah Lee

1.6k total citations
87 papers, 1.2k citations indexed

About

Jeong‐Ah Lee is a scholar working on Nutrition and Dietetics, Food Science and Molecular Biology. According to data from OpenAlex, Jeong‐Ah Lee has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nutrition and Dietetics, 15 papers in Food Science and 14 papers in Molecular Biology. Recurrent topics in Jeong‐Ah Lee's work include Meat and Animal Product Quality (13 papers), Food Quality and Safety Studies (10 papers) and Nutrition, Health and Food Behavior (10 papers). Jeong‐Ah Lee is often cited by papers focused on Meat and Animal Product Quality (13 papers), Food Quality and Safety Studies (10 papers) and Nutrition, Health and Food Behavior (10 papers). Jeong‐Ah Lee collaborates with scholars based in South Korea, Japan and United States. Jeong‐Ah Lee's co-authors include Kwan Park, Do‐Yeon Kim, Doo‐Sik Kong, Jong-Won Kim, Soo‐Jin Choi, Hyoung Seop Kim, Min Ho Lee, Mi Kyung Kim, Haesik Yang and Chang‐Hyun Kim and has published in prestigious journals such as PLoS ONE, Langmuir and Acta Materialia.

In The Last Decade

Jeong‐Ah Lee

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeong‐Ah Lee South Korea 19 293 240 231 182 124 87 1.2k
Miao Yu China 27 411 1.4× 93 0.4× 118 0.5× 168 0.9× 191 1.5× 92 2.0k
Lingyan Zhang China 22 283 1.0× 104 0.4× 37 0.2× 123 0.7× 130 1.0× 132 1.6k
Shanshan Zhu China 28 567 1.9× 113 0.5× 67 0.3× 164 0.9× 195 1.6× 111 2.0k
Rui Gu China 23 283 1.0× 288 1.2× 48 0.2× 234 1.3× 317 2.6× 75 1.4k
Jiangnan Hu China 21 495 1.7× 81 0.3× 172 0.7× 193 1.1× 319 2.6× 59 1.8k
Hyun-Jung Jung South Korea 20 251 0.9× 51 0.2× 82 0.4× 192 1.1× 193 1.6× 101 1.3k
Fatemeh Ramezani Iran 22 267 0.9× 120 0.5× 46 0.2× 166 0.9× 175 1.4× 89 1.1k
Beibei Yang China 28 321 1.1× 58 0.2× 77 0.3× 177 1.0× 87 0.7× 147 2.3k
Do‐Yeon Kim South Korea 25 913 3.1× 47 0.2× 77 0.3× 177 1.0× 192 1.5× 118 2.0k
Yao Zhang China 20 548 1.9× 69 0.3× 52 0.2× 128 0.7× 123 1.0× 116 1.6k

Countries citing papers authored by Jeong‐Ah Lee

Since Specialization
Citations

This map shows the geographic impact of Jeong‐Ah Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeong‐Ah Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong‐Ah Lee more than expected).

Fields of papers citing papers by Jeong‐Ah Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong‐Ah Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeong‐Ah Lee. The network helps show where Jeong‐Ah Lee may publish in the future.

Co-authorship network of co-authors of Jeong‐Ah Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong‐Ah Lee. A scholar is included among the top collaborators of Jeong‐Ah Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeong‐Ah Lee. Jeong‐Ah Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Jeong‐Ah, et al.. (2025). Leveraging compositional descriptors via explainable machine learning to understand hydrogen storage behavior. International Journal of Hydrogen Energy. 190. 152008–152008. 1 indexed citations
2.
Lee, Jeong‐Ah, Rae Eon Kim, Hyojin Park, et al.. (2024). Repairability and effectiveness in direct energy deposition of 316L stainless steel grooves: A comparative study on varying laser strategy. Journal of Materials Research and Technology. 32. 3347–3356. 9 indexed citations
3.
Kim, Rae Eon, Jeong‐Ah Lee, Hyojin Park, et al.. (2024). Enhanced strength-ductility synergy in stainless steel 316L through hierarchically tailored microstructure via laser-based repair deposition. Materials Research Letters. 12(10). 709–718. 9 indexed citations
4.
Lee, Jeong‐Ah, et al.. (2024). Unveiling yield strength of metallic materials using physics-enhanced machine learning under diverse experimental conditions. Acta Materialia. 275. 120046–120046. 12 indexed citations
5.
Lee, Jeong‐Ah, et al.. (2023). Analysis of Die Compaction of Chip Geometry through Porous Continuum Model‐Based Approach. Advanced Engineering Materials. 26(4).
6.
7.
Kim, Rae Eon, Gang Hee Gu, Yeon Taek Choi, Jeong‐Ah Lee, & Hyoung Seop Kim. (2023). Superior tensile properties and formability synergy of high-entropy alloys through inverse-gradient structures via laser surface treatment. Scripta Materialia. 234. 115587–115587. 11 indexed citations
8.
9.
Song, Dong‐Heon, Jeong‐Ah Lee, Sun Moon Kang, et al.. (2022). Effect of Halal and Conventional Slaughtering Method with CO2 and N2 Gas Stunning on Physicochemical Traits of Chicken Breast Muscle and Small Intestine. Korean Journal of Poultry Science. 49(1). 1–8. 2 indexed citations
10.
Song, Dong‐Heon, Jeong‐Ah Lee, Sun Moon Kang, et al.. (2022). Effect of Different Gas-Stunning Conditions on Heme Pigment Solutions and on the Color of Blood, Meat, and Small Intestine of Rabbits. Animals. 12(22). 3155–3155. 4 indexed citations
11.
Song, Dong‐Heon, Jeong‐Ah Lee, Inho Hwang, et al.. (2022). Effects of High Concentration Nitrogen Gas Stunning of Pigs on the Quality Traits of Meat and Small Intestine. Animals. 12(17). 2249–2249. 4 indexed citations
12.
Lee, Jeong‐Ah, et al.. (2022). Explainable machine learning for understanding and predicting geometry and defect types in Fe-Ni alloys fabricated by laser metal deposition additive manufacturing. Journal of Materials Research and Technology. 22. 413–423. 42 indexed citations
13.
Lee, Jeong‐Ah, Hyo‐Won Ahn, Song Hee Oh, et al.. (2021). Evaluation of interradicular space, soft tissue, and hard tissue of the posterior palatal alveolar process for orthodontic mini-implant, using cone-beam computed tomography. American Journal of Orthodontics and Dentofacial Orthopedics. 159(4). 460–469. 11 indexed citations
14.
15.
Kim, Ji Hyeon, et al.. (2018). Effects of 12-week aquarobics exercise on the blood lipids, atherogenic index and liver functions of elderly women. Journal of the Korean Applied Science and Technology. 35(4). 1185–1196. 2 indexed citations
16.
Cho, Hong‐Jun, et al.. (2015). Association between high risk alcohol consumption and hypertension in Korean people: The Fifth Korea National Health and Nutrition Examination Survey (KNHANES V, 2010-2012). Korean Journal of Family Practice. 5(3). 781–788. 5 indexed citations
17.
Jang, Jiho, Hoon‐Chul Kang, Han‐Soo Kim, et al.. (2011). Induced pluripotent stem cell models from X‐linked adrenoleukodystrophy patients. Annals of Neurology. 70(3). 402–409. 81 indexed citations
18.
Lee, Jeong‐Ah & Do‐Yeon Kim. (2010). 하타요가 운동이 폐경기 비만중년여성의 렙틴농도와 대사증후군 인자에 미치는 영향. 생명과학회지. 20(7). 1100–1106.
19.
Lee, Jeong‐Ah & Myoung‐Ho Hyun. (2009). Chronic Procrastination and Adjustment. Korean Journal of Stress Research. 17(2). 199–207.
20.
Lee, Hong-Jae, Kil-Byung Lim, Jeong‐Ah Lee, & Jae-Won Jang. (2005). Rehabilitation after Anterior Cruciate Ligament Reconstruction in Athletes. Annals of Rehabilitation Medicine. 29(6). 624–629. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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